S5P tropical tropospheric ozone product based on convective cloud differential method Klaus-Peter Heue, Pieter Valks, Diego Loyola, Deutsches Zentrum für.

Slides:



Advertisements
Similar presentations
Rossana Dragani Using and evaluating PROMOTE services at ECMWF PROMOTE User Meeting Nice, 16 March 2009.
Advertisements

Simultaneous profile measurements of BrO, OClO and NO 2 in the polar vortex Chris Sioris and Kelly Chance Smithsonian Astrophysical Observatory.
1 A Temporally Consistent NO 2 data record for Ocean Color Work Wayne Robinson, Ziauddin Ahmad, Charles McClain, Ocean Biology Processing Group (OBPG)
Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Physics/Electrical Engineering Department 1 Institute.
1 This is the footer Ozone in the Tropical Tropopause Layer Geraint Vaughan What determines the ozone concentration in the tropical upper troposphere?
Quantitative retrievals of NO 2 from GOME Lara Gunn 1, Martyn Chipperfield 1, Richard Siddans 2 and Brian Kerridge 2 School of Earth and Environment Institute.
DIRECT TROPOSPHERIC OZONE RETRIEVALS FROM SATELLITE ULTRAVIOLET RADIANCES Alexander D. Frolov, University of Maryland Robert D. Hudson, University of.
Forschungszentrum Karlsruhe in der Helmholtz-Gemeinschaft NDACC H2O workshop, Bern, July 2006 Water vapour profiles by ground-based FTIR Spectroscopy:
1 Operational O3M-SAF trace-gas column products: GOME-2 tropospheric NO 2, Ozone, and total SO 2 AT2 Seventh Workshop Helsinki, Sep Oct. 1, 2008.
Improvement and validation of OMI NO 2 observations over complex terrain A contribution to ACCENT-TROPOSAT-2, Task Group 3 Yipin Zhou, Dominik Brunner,
Institut für Umweltphysik/Fernerkundung Physik/Elektrotechnik Fachbereich 1 Retrieval of SCIAMACHY limb measurements: First Results A. Rozanov, V. Rozanov,
Comparisons of TES v002 Nadir Ozone with GEOS-Chem by Ray Nassar & Jennifer Logan Thanks to: Lin Zhang, Inna Megretskaia, Bob Yantosca, Phillipe LeSager,
Predictability study using the Environment Canada Chemical Data Assimilation System Jean de Grandpré Yves J. Rochon Richard Ménard Air Quality Research.
Slide 1 TROPOMI workshop, KNMI, 5-6 March 2008 Slide 1 Assimilation of atmospheric composition at ECMWF Rossana Dragani ECMWF with acknowledgements to.
Dynamical control of ozone transport and chemistry from satellite observations and CCMs Mark Weber 1, Ingo Wohltmann 2, Veronika Eyring 3, Markus Rex 2,
Introduction A new methodology is developed for integrating complementary ground-based data sources to provide consistent ozone vertical distribution time.
Page 1 Validation by Model Assimilation and/or Satellite Intercomparison - ESRIN 9–13 December 2002 Monitoring of near-real-time SCIAMACHY, MIPAS, and.
Page 1 Validation by Model Assimilation and/or Satellite Intercomparison - ESRIN 9–13 December 2002 Validation of ENVISAT trace gas data products by comparison.
OMI total-ozone anomaly and its impact on tropospheric ozone retrieval Jae Kim 1, Somyoung Kim 1, K. J. Ha 1, and Mike Newchurch Department of Atmospheric.
A. Bracher, L. N. Lamsal, M. Weber, J. P. Burrows University of Bremen, FB 1, Institute of Environmental Physics, P O Box , D Bremen, Germany.
S5P tropospheric ozone product: Convective Cloud Differential method First German S5P Verification Meeting Bremen, November 2013 Pieter Valks DLR,
Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Physics/Electrical Engineering Department 1 Measurements.
AMFIC second progress meeting MariLiza Koukouli & Dimitris Balis Laboratory of Atmospheric Physics Aristotle University of Thessaloniki.
S5P Ozone Profile (including Troposphere) verification: RAL Algorithm R.Siddans, G.Miles, B.Latter S5P Verification Workshop, MPIC, Mainz th May.
SCIAMACHY long-term validation M. Weber, S. Mieruch, A. Rozanov, C. von Savigny, W. Chehade, R. Bauer, and H. Bovensmann Institut für Umweltphysik, Universität.
WP 3 Satellite observations. SCIAMACHY retrieval Month 15: Initial error report Month 18: First dataset for CH4 and CO Incorporation of ECMWF p/T profiles.
Assessment of SBUV Profile Algorithm Using High Vertical Resolution Sensors Assessment of SBUV Profile Algorithm Using High Vertical Resolution Sensors.
Retrieval of Ozone Profiles from GOME (and SCIAMACHY, and OMI, and GOME2 ) Roeland van Oss Ronald van der A and Johan de Haan, Robert Voors, Robert Spurr.
Andrew Heidinger and Michael Pavolonis
Sentinel-5 precursor: TROPOMI Cloud slicing retrieval: Program development and testing with SCIAMACHY/GOME-2 WFDOAS data Kai-Uwe Eichmann, Mark Weber,
Retrieval of Methane Distributions from IASI
Validation of SCIAMACHY total ozone: ESA/DLR V5(W) and IUP WFDOAS V2(W) M. Weber, S. Dikty, J. P.Burrows, M. Coldewey-Egbers (1), V. E. Fioletov (2), S.
NASA/GSFC Tropospheric Ozone Residual M. Schoeberl NASA/GSFC M. Schoeberl NASA/GSFC.
OZONE PRODUCTS S5P Verification Workshop 20/05/2015 MPIC, Mainz.
Ozone time series and trends Various groups compute trends in different ways. One goal of the workshop is to be able to compare time series and trends.
Status of the Development of a Tropospheric Ozone Product from OMI Measurements Jack Fishman 1, Jerald R. Ziemke 2,3, Sushil Chandra 2,3, Amy E. Wozniak.
Rutherford Appleton Laboratory Remote Sensing Group Tropospheric ozone retrieval from uv/vis spectrometery RAL Space - Remote Sensing Group Richard Siddans,
C. Lerot 1, M. Koukouli 2, T. Danckaert 1, D. Balis 2, and M. Van Roozendael 1 1 BIRA-IASB, Belgium 2 LAP/AUTH, Greece S5P L2 Verification Meeting – 19-20/05/2015.
1 COST 723 WG1 Meeting 1 October 6-7, 2003 University of Bern, CH Availability of UTLS relevant SCIAMACHY data C. von.
AMFIC Progress Meeting, Barcelona, 24 June Space-nadir observations of formaldehyde, glyoxal and SO 2 columns with SCIAMACHY and GOME-2. Isabelle.
1 Improving SO 2 AMFs: Comparison of different approaches P. Hedelt, P. Valks, D. Loyola Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) Institut.
Evaluation of model simulations with satellite observed NO 2 columns and surface observations & Some new results from OMI N. Blond, LISA/KNMI P. van Velthoven,
Ozone PEATE 2/20/20161 OMPS LP Release 2 - Status Matt DeLand (for the PEATE team) SSAI 5 December 2013.
Kelly Chance Harvard-Smithsonian Center for Astrophysics Xiong Liu, Christopher Sioris, Robert Spurr, Thomas Kurosu, Randall Martin,
1 Xiong Liu Harvard-Smithsonian Center for Astrophysics K.V. Chance, C.E. Sioris, R.J.D. Spurr, T.P. Kurosu, R.V. Martin, M.J. Newchurch,
MAXDOAS observations in Beijing G. Pinardi, K. Clémer, C. Hermans, C. Fayt, M. Van Roozendael BIRA-IASB Pucai Wang & Jianhui Bai IAP/CAS 24 June 2009,
Validation of OMI and SCIAMACHY tropospheric NO 2 columns using DANDELIONS ground-based data J. Hains 1, H. Volten 2, F. Boersma 1, F. Wittrock 3, A. Richter.
Layers of the Atmosphere 1.  The atmosphere is divided into layers according to major changes in its temperature.  Gravity holds the layers of the atmosphere.
March 21, ‘06 comp. May 5, ‘06 comp Summary ~4% swath angle dependent difference Up to 9% difference over clouds Differences correlate with snow/ice.
The Atmosphere The atmosphere is the layer of gases that surrounds the Earth. Earth’s atmosphere is a mixture of nitrogen, oxygen, water vapor, and many.
Chapter 6: Present day ozone distribution and trends relevant to climate change A. Gaudel, O. R. Cooper, G. Ancellet, J. Cuesta, G. Dufour, F. Ebojie,
Page 1 OMI ST Meeting #11, KNMI, De Bilt, The Netherlands, June 2006 Validation of OMI trace gas products Main contributors (this work): Michel Van.
Impact of OMI data on assimilated ozone Kris Wargan, I. Stajner, M. Sienkiewicz, S. Pawson, L. Froidevaux, N. Livesey, and P. K. Bhartia   Data and approach.
MAX-DOAS observations of tropospheric aerosols and formaldehyde above China Tim Vlemmix Francois Hendrick Michel Van Roozendael Isabelle De Smedt Katrijn.
SADDU Meeting, March 2009, SRON, Utrecht1 Recent progress on nadir UV-Vis retrievals at BIRA M. Van Roozendael 1 C. Lerot 1, I. De Smedt 1, N. Theys.
1 SO 2 Air Mass Factors for pollution and volcanic emissions OMI Science Team Meeting De Bilt, June 2006 Pieter Valks, Werner Thomas, Thilo Ebertseder,
GOME2 Error Study WP 150: Basic SNR column retrieval PM2 10/2001 SNR Basic Column Retrieval R. De Beek, M. Weber,
Iodine Monoxide (IO) Nadir Scientific Data Product
Daily Tropospheric Ozone Residual from OMI-MLS
Andy Delcloo and Hugo De Backer
J. Kar (UT), H. Bremer (UB), James R. Drummond (UT), F
Intercomparison of SCIAMACHY NO2, the Chimère air-quality model and
How well can we determine the tropopause
Randall Martin, Daniel Jacob, Jennifer Logan, Paul Palmer
Sentinel 5 Precursor Ozone Column products
Intercomparison of SCIAMACHY NO2, the Chimère air-quality model and
SSH CCI-product assessment
Monitoring and assimilation of SCIAMACHY data at ECMWF
Authors: B.Kerridge, R.Siddans, J.Reburn, B.Latter and V.Jay
Presentation transcript:

S5P tropical tropospheric ozone product based on convective cloud differential method Klaus-Peter Heue, Pieter Valks, Diego Loyola, Deutsches Zentrum für Luft- und Raumfahrt (DLR), IMF-ATP, Germany DLR.de Chart 1

CCD method DLR.de Chart 2 Troposphere<10 km (~280hPa) Cloud top height (ROCINN) Stratospheric VCD Above cloud VCD ~240 DU correctionVCD <2 DU Stratospheric VCD ~240 DU total VCD ~ DU Tropospheric VCD ~10-40 DU

convective cloud differential (CCD) method  Look for high convective clouds (8.5km 0.8)  Column above the cloud is mainly stratospheric – Correct for column inside the cloud and between CT and 10km – Background region (70°E to 170°E) has low O 3 concentrations, low correction columns – Assume longitudinal constant stratospheric columns  Look for cloud free pixels (cloud cover <10%)  Average over 1.25°x 2.5° grid  Subtract stratospheric column (convective clouds) from total column (cloud free) Tropospheric Ozone DLR.de Chart 3

Stratospheric column May 2013 DLR.de Chart 4 Reference Region

Total Column May 2013 DLR.de Chart 5

Tropospheric Column May 2013 DLR.de Chart 6

Comparison to SCIAMACHY tropospheric data DLR.de Chart 7 Zonal means for sondes sometime consist of 1 or 2 stations! Offset of 20% added to GOME_CCD data to correct for different altitude ranges: SCIA 0-16 km CCD 0-10 km VCD =VMR*const*∆P The ratio of the pressure differences is 1.2 (offset of 20%) Difference SCIA-CCD ~2 DU (CCD is lower)

Typical comparison for GOME-2 CCD to sondes Slight offset ~2 DU Good agreement with annual cycle Comparison to ozone sondes (SHADOZ) DLR.de Chart 8

RAL Profile retrieved on a fixed grid: surface, 450, 170, 100 hpa, … RAL data scaled to 10 km (280 hPa) VCD[ hpa]=VCD[ hpa]/( )*( ) VCDtrop=VCD[p>450]+VCD[ ] Comparison to RAL profile retrieval for Sep 2007 DLR.de Chart 9 CCD GDP 4.8 RAL profile subcolumn below 10 km CCD minus RAL tropospheric subcolumn: -0.4 ± 3.15

Average difference between CCD and RAL profile DLR.de Chart 10

The tropospheric ozone CCD algorithm for S5P works Currently no S5P level-2 test data are available Validation by comparing GOME-2 data with other satellite retrievals o For the comparison with SCIAMACHY monthly means a correction term of +20% was introduces o Still the CCD data were lower than SCIAMACHY (~2 DU) o The sonde data were integrated up to 10 km for the comparison to CCD o The CCD data were higher by ~ 2 DU o GOME-2 data from RAL showed a good agreement until October 2007 o The CCD data are lower compared to RAL Comparison with SCIAMACHY gridded data is in progress. Summary DLR.de Chart 11

Extra slides DLR.de Chart 12

DLR.de Chart 13